Considerable policy action has focused on the social patterning of health, especially the health risks associated with low income. More recent attention has turned to transport, food systems, workplaces, and location, and the way their intersections with social position and income create health inequalities. Time is another dimension that structures what people do; yet the way in which time contours health has been neglected. This paper explores (a) how time might influence health, and (b) the way in which time scarcity complicates current understandings of health inequalities. Alongside other meanings, time can be thought of as a health resource. People need time to access health services, build close relationships, exercise, work, play, care, and consume—all activities that are fundamental to health. There is evidence that the experience of time pressure is directly related to poorer mental health. Lack of time is also the main reason people give for not taking exercise or eating healthy food. Thus, another impact of time scarcity may be its prevention of activities and behaviours critical for good health. We investigate whether time scarcity, like financial pressure, is socially patterned, and thus likely to generate health inequality. The experience of time scarcity appears to be linked to variations in time devoted to employment or caring—activities closely bound to gender, status, and life course. One reason that time scarcity is socially patterned is because of the way in which caring is valued, allocated, and negotiated in households and the market. Adding paid employment to caring workloads is now normative, transforming the allocation of time within families. But caring requires a close interlocking with others' needs, which are often urgent and unpredictable, creating conflict with the linear, scheduled, and commodified approach to time required in the workplace. We review the evidence for the possibility that these time pressures are indeed contributing to socially patterned health inequalities among people caring for others. We also explore the potential for time scarcity to compound other sources of health inequality through interplays with income and space (urban form, transportation networks and place of residence). People who are both time and income poor, such as lone mothers, may face compounding barriers to good health, and the urban geography of time-scarce families represents the embedding of time–money–space trade-offs linked to physical location. In Australia and the US, poorer families are more likely to live in mid to outer suburbs, necessitating longer commutes to work. These suburbs have inferior public transport access, and can lack goods and services essential to health such as shops selling fresh foods. We conclude with a tentative framework for considering time and health in the context of policy actions. For example, social policy efforts to increase workforce participation may be economically necessary, but could have time-related consequences that alter health. Similarly, if cities are to be made livable, health promoting, and more equitable, urban designers need to understand time and time–income–space trade-offs. Indeed, many social policies and planning and health interventions involve time dimensions which, if they remain unacknowledged, could further compound time pressures and time-related health inequality.

While some geographers have embraced active learning as a means to engage students in a course, many others stick to conventional teaching methods. They are often deterred by suggestions that it can be difficult to implement active learning where students have no prior knowledge of a subject, that active learning requires too much work of lecturers and students, and that there are significant institutional constraints to implementing active learning. In this article the authors draw on their experiences of utilizing active learning in five different countries before dispelling myths which continue to constrain the uptake of active learning methods. Finally, they provide simple guidelines for successful integration of active learning in geography courses.

Satellite images provide an accurate, continuous, and synoptic view of seamless global extent. Within the fields of remote sensing and image processing, land surface change detection (CD) has been amongst the most discussed topics. This article reviews advances in bitemporal and multitemporal two-dimensional CD with a focus on multispectral images. In addition, it reviews some CD techniques used for synthetic aperture radar (SAR). The importance of data selection and preprocessing for CD provides a starting point for the discussion. CD techniques are, then, grouped based on the change analysis products they can generate to assist users in identifying suitable procedures for their applications. The discussion allows users to estimate the resources needed for analysis and interpretation, while selecting the most suitable technique for generating the desired information such as binary changes, direction or magnitude of changes, “from-to” information of changes, probability of changes, temporal pattern, and prediction of changes. The review shows that essential and innovative improvements are being made in analytical processes for multispectral images. Advantages, limitations, challenges, and opportunities are identified for understanding the context of improvements, and this will guide the future development of bitemporal and multitemporal CD methods and techniques for understanding land cover dynamics.

The explosion of map use in the past few decades as part of everyday activities, accelerated through the digital production and dissemination of maps and the availability of low-cost, location-aware devices, has made the job of cartographers and map display designers more challenging. Yet, how do these recent changes affect effective map design? Can we accurately predict which designs will work for a given context? We investigate the concepts of design transferability and context and their potential to help us create map design outcomes that are effective for varying map use situations. We then present a model for operationalizing map use context to support evaluating map design transferability and pose several open research questions that need to be answered to support operationalizing map use context. This is followed by a research agenda that identifies research opportunities related to key research needs that will underpin transferable map design.